CN117399435B - Self-adaptive compensation adjustment method and system for copper pipe rolling process - Google Patents
Self-adaptive compensation adjustment method and system for copper pipe rolling process Download PDFInfo
- Publication number
- CN117399435B CN117399435B CN202311692480.8A CN202311692480A CN117399435B CN 117399435 B CN117399435 B CN 117399435B CN 202311692480 A CN202311692480 A CN 202311692480A CN 117399435 B CN117399435 B CN 117399435B
- Authority
- CN
- China
- Prior art keywords
- rolling
- copper pipe
- copper
- batch
- parameters
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 301
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 title claims abstract description 286
- 229910052802 copper Inorganic materials 0.000 title claims abstract description 286
- 239000010949 copper Substances 0.000 title claims abstract description 286
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000009785 tube rolling Methods 0.000 claims abstract description 46
- 239000000463 material Substances 0.000 claims abstract description 44
- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 238000013135 deep learning Methods 0.000 claims abstract description 13
- 230000003044 adaptive effect Effects 0.000 claims description 19
- 238000012360 testing method Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000010219 correlation analysis Methods 0.000 claims description 10
- 238000013441 quality evaluation Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 7
- 238000012795 verification Methods 0.000 claims description 7
- 238000006073 displacement reaction Methods 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 6
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000005457 optimization Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Metal Rolling (AREA)
Abstract
The invention relates to the technical field of copper pipe rolling, in particular to a self-adaptive compensation adjustment method and system in the copper pipe rolling process, wherein the method comprises the following steps: obtaining the rolling target diameter of the copper pipe in each rolling process, and calculating a rolling standard deviation value; obtaining batch material information of copper tubes to be rolled, constructing a batch copper tube rolling control template, wherein the batch copper tube rolling control template is a standard for rolling copper materials in the same batch, and carrying out rolling parameter adjustment control on the copper materials in the same batch; the self-adaptive adjustment model adjusts rolling parameters and transmits the adjusted rolling parameters to a batch copper pipe rolling control template; and inputting the rolling state information of the copper pipe and the adjusted rolling standard deviation into the self-adaptive adjustment model, and outputting to obtain rolling compensation parameters. The invention effectively solves the problem of low adjustment accuracy of different copper rolling processes, can realize automatic cooperation of rolling process front rolling and rolling process back rolling, and can replace manual monitoring by deep learning through an intelligent system.
Description
Technical Field
The invention relates to the technical field of copper pipe rolling, in particular to a self-adaptive compensation adjustment method and system in a copper pipe rolling process.
Background
Copper pipe rolling is an important manufacturing process for copper pipe production, and comprises a plurality of procedures of rotary rolling, combined drawing and disc drawing, and each subsequent rolling further adjusts the diameter, the wall thickness and the surface quality of the copper pipe for the previous rolling.
However, due to the differences of the materials, specifications and production targets of the processed copper tubes, different rolling effects are formed on copper materials with different batches and different attribute particle structures in the rolling process, the preface rolling result can have an important influence on the subsequent rolling process, the process parameter adjustment efficiency is low by manually carrying out on the copper tubes with different batches, and the rolling process needs to be monitored manually.
The information disclosed in this background section is only for enhancement of understanding of the general background of the disclosure and is not to be taken as an admission or any form of suggestion that this information forms the prior art that is well known to a person skilled in the art.
Disclosure of Invention
The invention provides a self-adaptive compensation adjustment method and a self-adaptive compensation adjustment system for a copper pipe rolling process, which can effectively solve the problems in the background technology.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
an adaptive compensation adjustment method for a copper pipe rolling process, the method comprising:
obtaining the rolling target diameters of the copper pipes in each rolling process, and calculating rolling standard values through the rolling target diameters;
the method comprises the steps of obtaining batch material information of copper pipes to be rolled, constructing a batch copper pipe rolling control template based on the rolling target diameter, wherein the batch copper pipe rolling control template is a standard for rolling copper materials in the same batch, and performing rolling parameter adjustment control on the copper materials in the same batch;
the batch copper pipe rolling control template pre-adjusts the rolling standard deviation value according to the batch material information of the copper pipe to be rolled;
monitoring the rolling process of the copper pipe and obtaining rolling state information of the copper pipe;
establishing an adaptive adjustment model, wherein the adaptive adjustment model adjusts rolling parameters of the copper pipe and transmits the adjusted rolling parameters to the batch copper pipe rolling control template;
inputting the rolling state information of the copper pipe and the adjusted rolling standard deviation into the self-adaptive adjustment model, and outputting to obtain rolling compensation parameters, wherein the rolling compensation parameters provide adjustment basis for the next rolling process.
Further, constructing a batch copper tube rolling control template, comprising:
collecting historical copper pipe rolling data information, and preprocessing the historical copper pipe rolling data information;
extracting the characteristics of the copper material data of the processed historical copper tube rolling data information;
analyzing the relevance of the copper material data characteristics and the rolling standard deviation value to obtain a relevance analysis result;
classifying the historical copper tube rolling data information according to the correlation analysis result, and correspondingly establishing a plurality of batch copper tube rolling control templates according to the classification result.
Further, classifying the historical copper tube rolling data information according to the correlation analysis result, including:
performing deep analysis on the correlation analysis result to obtain a correlation coefficient, and dividing the Guan Du coefficient into positive correlation and negative correlation;
setting compatibility labels for all the batch copper pipe rolling control templates according to the correlation coefficients, wherein the compatibility labels cluster the same correlation coefficients generated by different copper materials into one batch copper pipe rolling control template, and mark as a judging condition for selecting the batch copper pipe rolling control template;
and classifying the historical copper pipe rolling data information according to the compatibility label.
Further, setting feedback adjustment for the batch copper tube rolling control template, including:
periodically obtaining the quality parameters of the copper pipe rolling;
evaluating the quality parameters to obtain a quality evaluation result;
judging whether the quality evaluation result needs to adjust rolling process parameters or not;
if yes, feeding back the quality evaluation result to the batch copper pipe rolling control template, and feeding back and adjusting related parameters.
Further, the rolling compensation parameter provides adjustment basis for the following rolling process, including:
the self-adaptive adjustment model acquires the last rolling compensation parameter;
the rolling compensation parameters carry out compensation adjustment on the rolling standard deviation value;
inputting the self-adaptive adjustment model again for inspection and corresponding adjustment;
covering the relevant technological parameters in the batch copper pipe rolling control template.
Further, monitoring the rolling process of the copper pipe and obtaining the rolling state information of the copper pipe, wherein the method comprises the following steps:
determining the specification of a copper pipe to be rolled, and obtaining basic information of the copper pipe;
carrying out sectional treatment on the detection area of the copper pipe according to the copper pipe basic information;
determining a segmentation area, and establishing a coordinate system for the copper pipe according to the segmentation area;
and monitoring the rolling process of the copper pipe through the segmented area and the coordinate system, and obtaining the rolling state information of the copper pipe.
Further, the batch copper pipe rolling control template carries out rolling parameter adjustment control on the copper materials in the same batch, and the method comprises the following steps:
determining the rolling state information of the copper pipe;
determining the position to be adjusted of the copper pipe according to the copper pipe rolling state information;
acquiring working parameters of rolling equipment, and calculating according to the working parameters to acquire rolling time delay, wherein the rolling time delay is displacement time of the same position among rolling procedures;
and carrying out rolling parameter adjustment control on the copper materials in the same batch according to the rolling time delay and the position to be adjusted.
Further, establishing an adaptive adjustment model includes:
a deep learner is selected to perform deep learning on the preprocessed historical copper pipe rolling data information;
constructing a verification data set and a test data set according to the historical copper tube rolling data information;
testing and verifying the deep learning result through the verification data set and the test data set;
and establishing a self-adaptive adjustment model based on the debugged deep learner, and adding a plurality of input layers and output layers.
An adaptive compensation adjustment system for a copper tube rolling process, the system comprising:
the rolling data acquisition module acquires rolling target diameters of the copper pipes in each rolling process, and calculates rolling standard deviation values through each rolling target diameter;
the copper material batch template module is used for obtaining batch material information of copper tubes to be rolled, constructing batch copper tube rolling control templates based on the rolling target diameter, setting standards for the copper material rolling of the same batch by the batch copper tube rolling control templates, and carrying out rolling parameter adjustment control on the copper material of the same batch;
the standard deviation pre-adjustment module is used for pre-adjusting the rolling standard deviation value according to the batch material information of the copper pipe to be rolled by the batch copper pipe rolling control template;
the copper pipe rolling monitoring module monitors the rolling process of the copper pipe and obtains the rolling state information of the copper pipe;
the self-adaptive model building module is used for building a self-adaptive adjustment model, adjusting the rolling parameters of the copper pipe and transmitting the adjusted rolling parameters to the batch copper pipe rolling control template;
and the self-adaptive compensation adjustment module inputs the rolling state information of the copper pipe and the adjusted rolling standard deviation into the self-adaptive adjustment model, outputs the rolling compensation parameters, and provides adjustment basis for the next rolling process.
Further, the copper pipe rolling monitoring module comprises:
the basic information acquisition unit is used for determining the specification of the copper pipe to be rolled and acquiring basic information of the copper pipe;
the copper pipe region dividing unit is used for carrying out sectional treatment on the detection region of the copper pipe according to the copper pipe basic information;
the coordinate system establishing unit is used for determining a segmented area and establishing a coordinate system for the copper pipe according to the segmented area;
and the monitoring and acquiring information unit monitors the rolling process of the copper pipe through the segmented area and the coordinate system and acquires the rolling state information of the copper pipe.
By the technical scheme of the invention, the following technical effects can be realized:
the problem of low adjustment accuracy of different copper material rolling processes is effectively solved, automatic cooperation of rolling process front rolling and follow-up rolling can be achieved, and through an intelligent system, deep learning can replace manual monitoring, work efficiency is improved, and labor cost is reduced.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to the drawings without inventive effort to those skilled in the art.
FIG. 1 is a schematic flow diagram of a method and system for adaptively compensating and adjusting a copper pipe in a rolling process;
FIG. 2 is a schematic flow chart of a batch copper tube rolling control template construction;
FIG. 3 is a schematic flow chart of a batch copper tube rolling control template set feedback adjustment;
FIG. 4 is a schematic flow chart of the rolling compensation parameters for providing adjustment basis for the next rolling process;
FIG. 5 is a schematic flow chart of obtaining copper tube rolling state information;
FIG. 6 is a schematic flow chart of establishing an adaptive adjustment model;
fig. 7 is a schematic structural diagram of an adaptive compensation adjustment system for copper tube rolling process.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
As shown in fig. 1, the present application provides a self-adaptive compensation adjustment method in a copper pipe rolling process, the method comprising:
s100: obtaining rolling target diameters of the copper pipe in each rolling process, and calculating rolling standard deviation values through each rolling target diameter;
s200: obtaining batch material information of copper tubes to be rolled, constructing a batch copper tube rolling control template based on a rolling target diameter, wherein the batch copper tube rolling control template is a standard for rolling copper materials in the same batch, and performing rolling parameter adjustment control on the copper materials in the same batch;
s300: the batch copper pipe rolling control template pre-adjusts rolling standard deviation values according to batch material information of copper pipes to be rolled;
s400: monitoring the rolling process of the copper pipe and obtaining rolling state information of the copper pipe;
s500: establishing an adaptive adjustment model, adjusting rolling parameters of the copper pipe by the adaptive adjustment model, and transmitting the adjusted rolling parameters to a batch copper pipe rolling control template;
s600: inputting the rolling state information of the copper pipe and the adjusted rolling standard deviation into the self-adaptive adjustment model, outputting to obtain rolling compensation parameters, and providing adjustment basis for the next rolling process.
Specifically, the batch copper pipe rolling template has two functions, namely, one of the batch copper pipe rolling template is used for identifying batch copper materials with the same rolling parameters and pre-adjusting the copper pipe rolling process, the actual rolling operation is controlled, the adjusted parameters and real-time data obtained through detection are input into the self-adaptive adjustment model, rolling compensation parameters are obtained through output of the self-adaptive adjustment model, a command is issued to the batch copper pipe rolling template according to the rolling compensation parameters, and then the actual rolling parameters are adjusted; in the above steps, the target diameter is an absolute value, that is, parameters such as wall thickness, diameter and the like of each rolled copper tube in an ideal state, and the preset rolling standard deviation value and the actual value deviate due to the restriction of various factors in the actual process, wherein one important factor is that the same preset value possibly faces different batches of copper tubes, the different copper tubes are unstable due to the unstable particle structure, the positions of some copper tubes are possibly stressed/unstressed, the quality of the rolled copper tubes is directly influenced, the establishment of a batch copper tube rolling template directly considers the factor, an adaptive template model is manufactured for the copper tubes, the preset value is subjected to preliminary adjustment, waste products caused by overlarge quality with the actual difference are avoided, the adaptive adjustment model is used for further adjusting the rolled parameters on the basis of the batch copper tube rolling template, and the two models are used for completing the adaptive control of the copper tube rolling process.
According to the technical scheme, the problem of low adjustment accuracy of different copper rolling processes is effectively solved, automatic cooperation of rolling in the front of the rolling process and rolling in the rear of the rolling process can be realized, and through an intelligent system, deep learning can replace manual monitoring, so that the working efficiency is improved, and the labor cost is reduced.
Further, as shown in fig. 2, the construction of the batch copper tube rolling control template comprises the following steps:
s210: collecting historical copper pipe rolling data information, and preprocessing the historical copper pipe rolling data information;
s220: extracting characteristics of copper material data of the processed historical copper tube rolling data information;
s230: analyzing the relevance of the copper material data characteristics and the rolling standard deviation value to obtain a relevance analysis result;
s240: classifying historical copper tube rolling data information according to the correlation analysis result, and correspondingly establishing a plurality of batches of copper tube rolling control templates according to the classification result.
As the optimization of the embodiment, the historical copper pipe rolling data is collected, in order to establish a control template, based on rich historical information, a data collection system can be used for collecting relevant data such as the diameter, the wall thickness and the temperature of the historical copper pipe rolling, the historical data is preprocessed to help to remove abnormal values and smooth data, the accuracy and consistency of the data are ensured, key information is extracted from huge data by feature extraction, the data dimension is reduced, subsequent relevance analysis and modeling are facilitated, a data analysis tool or programming language can be used for extracting key features in the copper pipe rolling data, such as an average value, a standard deviation, a minimum value and a maximum value, the extracted features can better represent the characteristics of the copper pipe rolling data, the data set is simplified, the efficiency of subsequent analysis is improved, on the basis, statistical methods such as relevance analysis and regression analysis can be used for exploring the relation between copper material data features and rolling standard difference values, and key factors of different features on the influence of rolling process can be found by analyzing the relevance of the copper material data features and rolling standard difference values, and basis is provided for modeling.
Further, classifying the historical copper tube rolling data information according to the correlation analysis result comprises the following steps:
deep analysis is carried out on the correlation analysis result to obtain a correlation coefficient, and the Guan Du coefficient is divided into positive correlation and negative correlation;
setting compatibility labels for all batches of copper tube rolling control templates according to the correlation coefficients, wherein the compatibility labels cluster the same correlation coefficients generated by different copper materials into one batch of copper tube rolling control templates, and marking as judgment conditions for selecting the batch of copper tube rolling control templates;
and classifying the historical copper pipe rolling data information according to the compatibility label.
On the basis of the embodiment, a statistical tool or programming language can be used for carrying out detailed analysis on the correlation analysis result, a correlation coefficient is calculated, for the division of positive correlation and negative correlation, a threshold value can be generally set, the positive correlation is exceeded, the negative correlation is undershot than the threshold value, the parameter setting under the condition of multiple copper materials can use the same batch copper tube rolling control template, then the batch copper tube rolling control template with the same adaptation needs to be selected, the compatibility label can extract the classified distinguishing features, a plurality of distinguishing features are used as the unique identification of the selected batch copper tube rolling control template, the selection basis is provided for the selected batch copper tube rolling control template, the history copper tube rolling data information is classified through the distinguishing features, the batch copper tube rolling control template is established, the generalization of the template is improved, the clustering of different copper materials with similar characteristics is realized, the fluctuation caused by material change in the production process is reduced, and a more specific and more accurate control strategy is provided.
Further, as shown in fig. 3, setting feedback adjustment on the batch copper tube rolling control template includes:
s201: periodically obtaining the quality parameters of copper pipe rolling;
s202: evaluating the quality parameters to obtain a quality evaluation result;
s203: judging whether the quality evaluation result needs to adjust rolling process parameters or not;
s204: if yes, feeding back the quality evaluation result to the batch copper pipe rolling control template, and feeding back and adjusting related parameters.
As a preference of the above embodiment, a sensor or an online detection system may be set to obtain the quality parameters of copper tube rolling, monitor and record the quality parameters of copper tube rolling, such as diameter, wall thickness, surface finish, etc., in a fixed period, and evaluate the quality of the collected results, if the obtained evaluation result is not up to standard, then immediately adjust the control system in the batch copper tube rolling control template, that is, adjust the rolling parameters of the next copper tube according to the evaluation result, and the whole process is an instant feedback adjustment, especially when a new group of copper material rolling is just entered, the monitoring evaluation frequency may be controlled by controlling the periodicity, specifically, the monitoring frequency of the previous several copper tubes may be increased, the evaluation result tends to be stable and qualified, and then the monitoring frequency is reduced, and the period is prolonged.
Further, as shown in fig. 4, the rolling compensation parameters provide adjustment basis for the following rolling process, including:
s610: the self-adaptive adjustment model acquires the last rolling compensation parameter;
s620: the rolling compensation parameters compensate and adjust the rolling standard deviation value;
s630: inputting the self-adaptive adjustment model again for inspection and corresponding adjustment;
s640: covering the relevant technological parameters in the batch copper pipe rolling control template.
In the manner of this embodiment, the last rolling compensation parameter is recorded in the system, the value of the parameter is obtained by the adaptive adjustment model, the obtained rolling compensation parameter is combined with the current rolling standard deviation value, compensation adjustment is performed, the adaptive adjustment model is input again, the adjusted rolling standard deviation value is input again, the output of the model is checked, and further parameter adjustment is performed as required. Finally, the adjusted rolling parameters are applied to the batch copper pipe rolling control templates to cover the original parameter setting, and the compensation parameters are mainly adjusted to the self-adaptive model and the batch copper pipe rolling control templates, and the feedback adjustment is the instantaneous adjustment to the control end to avoid the occurrence of a large number of unqualified products.
Further, as shown in fig. 5, the rolling process of the copper pipe is monitored, and the rolling state information of the copper pipe is obtained, including:
s410: determining the specification of a copper pipe to be rolled, and obtaining basic information of the copper pipe;
s420: carrying out sectional treatment on the detection area of the copper pipe according to the basic information of the copper pipe;
s430: determining a segmented area, and establishing a coordinate system for the copper pipe according to the segmented area;
s440: and monitoring the rolling process of the copper pipe through the segmented area and the coordinate system, and obtaining the rolling state information of the copper pipe.
In the rolling process, firstly, the specification of a copper pipe to be rolled needs to be determined, basic information is acquired, measurement can be carried out by using technical means such as a sensor and laser measurement, high precision and high efficiency are ensured, then, the copper pipe is segmented according to the basic information, each segment is detected by using automatic equipment, a segmented area is determined according to the basic information, a coordinate system is established on the basis, the position information in the copper pipe rolling process is accurately described, the diameter or the thickness of the inner wall of the copper pipe can be clearly positioned by matching the segmented area, the comprehensive monitoring of the copper pipe rolling process can be realized, detailed data support is provided for adjustment, and the stability of product quality is ensured.
Furthermore, the batch copper pipe rolling control template carries out rolling parameter adjustment control on the copper materials in the same batch, and the method comprises the following steps:
determining rolling state information of the copper pipe;
determining the position to be adjusted of the copper pipe according to the rolling state information of the copper pipe;
acquiring working parameters of rolling equipment, and calculating according to the working parameters to acquire rolling time delay, wherein the rolling time delay is displacement time of the same position among rolling procedures;
and carrying out rolling parameter adjustment control on the copper materials in the same batch according to the rolling time delay and the position to be adjusted.
As a preference of the above embodiment, firstly, determining rolling state information of the copper pipe, for example, up-to-standard condition of the copper pipe after the copper pipe is rolled in advance, determining which local parameters of the copper pipe are still to be subjected to differential rolling, and the like, further determining a position to be adjusted according to the information, and determining a specific area needing parameter adjustment through a coordinate system and a segmented area; then, working parameters of the rolling equipment, including roll pressure, roll gap, rolling speeds of the front and rear ends, rolling advancing speed of the copper pipe, and the like, are obtained, rolling time delay is calculated according to the parameters, namely displacement time of the same position among rolling procedures, for example, diameter fluctuation of the copper pipe area at the point A is judged from coordinates, the delay time is the displacement time required for the point A area to reach the rear end rolling, the displacement time is related to the rolling speed and the rolling advancing speed of the copper pipe, and finally, rolling parameter adjustment control of the copper material in the same batch is implemented by combining the rolling time delay and the position to be adjusted.
Further, as shown in fig. 6, the building of the adaptive adjustment model includes:
s510: a deep learner is selected to perform deep learning on the preprocessed historical copper pipe rolling data information;
s520: constructing a verification data set and a test data set according to the historical copper pipe rolling data information;
s530: testing and verifying the deep learning result through the verification data set and the test data set;
s540: and establishing a self-adaptive adjustment model based on the debugged deep learner, and adding a plurality of input layers and output layers.
Based on the embodiment, the self-adaptive adjustment model is built, the copper pipe rolling process can be adjusted more intelligently, when the deep learner is selected to perform deep learning on the preprocessed historical copper pipe rolling data information, the capability of the deep learning can capture complex data relation, understanding of the model on the rolling process is improved, a proper neural network structure is selected to train by using the deep learning framework such as TensorFlow or PyTorch, a verification data set and a test data set are built according to the historical copper pipe rolling data information, the generalization capability of the model on historical data is ensured by testing and verifying the result of the deep learning by the data sets, the robustness of the model is improved, the self-adaptive adjustment model can learn and adapt to the change of the rolling process according to the historical data, more accurate and real-time parameter adjustment is realized, and the self-adaptability and intelligent level of copper pipe rolling are improved.
Embodiment two:
based on the same inventive concept as the self-adaptive compensation adjustment method in the copper pipe rolling process in the foregoing embodiment, as shown in fig. 7, the invention further provides a self-adaptive compensation adjustment system in the copper pipe rolling process, where the system comprises:
the rolling data acquisition module acquires rolling target diameters of the copper pipe in each rolling process, and calculates rolling standard deviation values through each rolling target diameter;
the copper material batch template module is used for obtaining batch material information of copper tubes to be rolled, constructing batch copper tube rolling control templates based on rolling target diameters, setting the batch copper tube rolling control templates as the same batch copper material rolling setting standard, and carrying out rolling parameter adjustment control on the same batch copper material;
the standard deviation pre-adjustment module is used for pre-adjusting the rolling standard deviation value according to batch material information of the copper pipe to be rolled by the batch copper pipe rolling control template;
the copper pipe rolling monitoring module monitors the rolling process of the copper pipe and obtains the rolling state information of the copper pipe;
the self-adaptive model building module builds a self-adaptive adjustment model, adjusts rolling parameters of the copper pipe, and transmits the adjusted rolling parameters to the batch copper pipe rolling control template;
the self-adaptive compensation adjustment module inputs the rolling state information of the copper pipe and the adjusted rolling standard deviation into the self-adaptive adjustment model, outputs the rolling compensation parameters, and provides adjustment basis for the next rolling process.
The adjusting system can effectively realize the self-adaptive compensation adjusting method in the copper pipe rolling process, and has the technical effects as described in the embodiment, and the description is omitted here.
Further, the copper pipe rolling monitoring module includes:
the basic information acquisition unit is used for determining the specification of the copper pipe to be rolled and acquiring basic information of the copper pipe;
the copper pipe region dividing unit is used for carrying out sectional treatment on the detection region of the copper pipe according to the basic information of the copper pipe;
the coordinate system establishing unit is used for determining a segmented area and establishing a coordinate system for the copper pipe according to the segmented area;
and the monitoring and acquiring information unit monitors the rolling process of the copper pipe through the segmented area and the coordinate system and acquires the rolling state information of the copper pipe.
Similarly, the above-mentioned optimization schemes of the system may also respectively correspond to the optimization effects corresponding to the methods in the first embodiment, which are not described herein again.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary illustrations of the application as defined in the appended claims and are to be construed as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (6)
1. An adaptive compensation adjustment method for a copper pipe rolling process is characterized by comprising the following steps:
obtaining the rolling target diameters of the copper pipes in each rolling process, and calculating rolling standard values through the rolling target diameters;
obtaining batch material information of copper tubes to be rolled, constructing a batch copper tube rolling control template based on the rolling target diameter, wherein the batch copper tube rolling control template is a standard for rolling the copper tubes in the same batch, and carrying out rolling parameter adjustment control on the copper tubes in the same batch;
constructing a batch copper pipe rolling control template, which comprises the following steps:
collecting historical copper pipe rolling data information, and preprocessing the historical copper pipe rolling data information;
extracting the characteristics of the copper pipe data of the preprocessed historical copper pipe rolling data information;
analyzing the relevance of the copper pipe data characteristics and the rolling standard deviation value to obtain a relevance analysis result;
classifying the historical copper tube rolling data information according to the correlation analysis result, and correspondingly establishing a plurality of batch copper tube rolling control templates according to the classification result;
the batch copper pipe rolling control template pre-adjusts the rolling standard deviation value according to the batch material information of the copper pipe to be rolled;
monitoring the rolling process of the copper pipe and obtaining rolling state information of the copper pipe;
establishing an adaptive adjustment model, wherein the adaptive adjustment model adjusts rolling parameters of the copper pipe and transmits the adjusted rolling parameters to the batch copper pipe rolling control template;
establishing an adaptive adjustment model, comprising:
a deep learner is selected to perform deep learning on the preprocessed historical copper pipe rolling data information;
constructing a verification data set and a test data set according to the historical copper tube rolling data information;
testing and verifying the deep learning result through the verification data set and the test data set;
establishing a self-adaptive adjustment model based on the debugged deep learner, and adding a plurality of input layers and output layers;
inputting the rolling state information of the copper pipe and the adjusted rolling standard deviation into the self-adaptive adjustment model, and outputting to obtain rolling compensation parameters, wherein the rolling compensation parameters provide a pre-adjustment basis for the next rolling process.
2. The method for adaptively compensating and adjusting the copper pipe rolling process according to claim 1, wherein classifying the historical copper pipe rolling data information according to the correlation analysis result comprises:
performing deep analysis on the correlation analysis result to obtain a correlation coefficient, and dividing the Guan Du coefficient into positive correlation and negative correlation;
setting compatibility labels for all the batch copper pipe rolling control templates according to the correlation coefficients, wherein the compatibility labels cluster the same correlation coefficients generated by different copper pipes into one batch copper pipe rolling control template, and the compatibility labels are judging conditions for selecting the batch copper pipe rolling control templates;
and classifying the historical copper pipe rolling data information according to the compatibility label.
3. The method for adaptively compensating and adjusting copper pipe rolling process according to claim 2, wherein,
setting feedback adjustment for the batch copper pipe rolling control template, comprising:
periodically obtaining the quality parameters of the copper pipe rolling;
evaluating the quality parameters to obtain a quality evaluation result;
judging whether adjustment of rolling process parameters is needed according to the quality evaluation result;
if yes, feeding back the quality evaluation result to the batch copper pipe rolling control template, and feeding back and adjusting related parameters.
4. The self-adaptive compensation adjustment method for copper pipe rolling process according to claim 1, wherein,
the rolling compensation parameters provide adjustment basis for the following rolling process, and the method comprises the following steps:
the self-adaptive adjustment model acquires the last rolling compensation parameter;
performing compensation adjustment on the rolling standard deviation value according to the rolling compensation parameter;
checking and correspondingly adjusting the self-adaptive adjustment model again;
covering the relevant technological parameters in the batch copper pipe rolling control template.
5. The method for adaptively compensating and adjusting a copper pipe rolling process according to claim 1, wherein the monitoring of the copper pipe rolling process and obtaining copper pipe rolling state information comprises:
determining the specification of a copper pipe to be rolled, and obtaining basic information of the copper pipe;
carrying out sectional treatment on the detection area of the copper pipe according to the copper pipe basic information;
determining a segmentation area, and establishing a coordinate system for the copper pipe according to the segmentation area;
and monitoring the rolling process of the copper pipe through the segmented area and the coordinate system, and obtaining the rolling state information of the copper pipe.
6. The method for adaptively compensating and adjusting a copper pipe rolling process according to claim 5, wherein the batch copper pipe rolling control template performs rolling parameter adjustment control on the copper pipes in the same batch, and the method comprises the following steps:
determining the rolling state information of the copper pipe;
determining the position to be adjusted of the copper pipe according to the copper pipe rolling state information;
acquiring working parameters of rolling equipment, and calculating according to the working parameters to acquire rolling time delay, wherein the rolling time delay is displacement time of the same position among rolling procedures;
and carrying out rolling parameter adjustment control on the copper pipes in the same batch according to the rolling time delay and the position to be adjusted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311692480.8A CN117399435B (en) | 2023-12-11 | 2023-12-11 | Self-adaptive compensation adjustment method and system for copper pipe rolling process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311692480.8A CN117399435B (en) | 2023-12-11 | 2023-12-11 | Self-adaptive compensation adjustment method and system for copper pipe rolling process |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117399435A CN117399435A (en) | 2024-01-16 |
| CN117399435B true CN117399435B (en) | 2024-03-15 |
Family
ID=89496436
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311692480.8A Active CN117399435B (en) | 2023-12-11 | 2023-12-11 | Self-adaptive compensation adjustment method and system for copper pipe rolling process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117399435B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1979496A (en) * | 2005-12-02 | 2007-06-13 | 中国科学院金属研究所 | Copper-alloy pipe-material casting-milling technology parameter designing and optimizing method |
| CN102591286A (en) * | 2012-02-20 | 2012-07-18 | 宝山钢铁股份有限公司 | Online rolling plan dynamic pre-analysis and self-adjustment system and method |
| CN104511481A (en) * | 2013-09-26 | 2015-04-15 | 宝山钢铁股份有限公司 | Multi-target rough rolling width long-travel control method |
| CN113569343A (en) * | 2021-05-19 | 2021-10-29 | 苏州大学 | Method, device and system for controlling rolling thickness of plate and storage medium |
| CN115121626A (en) * | 2022-06-28 | 2022-09-30 | 燕山大学 | Hot-rolled strip steel transient hot roll shape forecasting method based on error compensation |
-
2023
- 2023-12-11 CN CN202311692480.8A patent/CN117399435B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1979496A (en) * | 2005-12-02 | 2007-06-13 | 中国科学院金属研究所 | Copper-alloy pipe-material casting-milling technology parameter designing and optimizing method |
| CN102591286A (en) * | 2012-02-20 | 2012-07-18 | 宝山钢铁股份有限公司 | Online rolling plan dynamic pre-analysis and self-adjustment system and method |
| CN104511481A (en) * | 2013-09-26 | 2015-04-15 | 宝山钢铁股份有限公司 | Multi-target rough rolling width long-travel control method |
| CN113569343A (en) * | 2021-05-19 | 2021-10-29 | 苏州大学 | Method, device and system for controlling rolling thickness of plate and storage medium |
| CN115121626A (en) * | 2022-06-28 | 2022-09-30 | 燕山大学 | Hot-rolled strip steel transient hot roll shape forecasting method based on error compensation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117399435A (en) | 2024-01-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109222208B (en) | Cut tobacco making process analysis optimization method and system oriented to cigarette production index control | |
| CN107220734B (en) | Numerical control lathe turning process energy consumption prediction system based on decision tree | |
| CN115993807B (en) | Production monitoring optimization control method and system for silicon carbide | |
| CN114754824B (en) | Monitoring and early warning method and system for wire drawing machine | |
| TW201615844A (en) | Method and system of cause analysis and correction for manufacturing data | |
| CN110889091B (en) | Machine tool thermal error prediction method and system based on temperature sensitive interval segmentation | |
| CN114329940A (en) | Continuous casting billet quality prediction method based on extreme learning machine | |
| CN115993856B (en) | Multi-region environmental condition management and control method and system for factory building | |
| CN110716500A (en) | Method and system for determining segmented modeling points of temperature sensitive interval | |
| CN111950577A (en) | Point inspection method and device | |
| CN115826516A (en) | Intelligent stainless steel chain production management method and system | |
| CN117086117A (en) | Temperature control method and system for titanium belt hot rolling process | |
| CN115169453A (en) | Hot continuous rolling width prediction method based on density clustering and depth residual error network | |
| CN117399435B (en) | Self-adaptive compensation adjustment method and system for copper pipe rolling process | |
| CN117469603B (en) | Multi-water-plant water supply system pressure optimal control method based on big data learning | |
| CN114266286A (en) | Online detection method and device for welding process information | |
| CN117148803B (en) | Adjusting control method for automatic centering width adjusting assembly line | |
| CN111368833B (en) | Full-automatic steel loading method for detecting slab number based on machine vision | |
| CN115106615B (en) | Welding deviation real-time detection method and system based on intelligent working condition identification | |
| CN115983684B (en) | Copper pipe production defect management method and system for refrigeration | |
| CN116611850B (en) | System for detecting and tracing engine assembly quality curve | |
| CN116915122B (en) | Self-adaptive control method and system for coal mine frequency conversion equipment | |
| CN111488922B (en) | Intermediate blank camber classification identification and quality judgment method and system | |
| CN117259447B (en) | Self-adaptive adjustment method and system for copper pipe rotary rolling production parameters | |
| CN117870034B (en) | Control method, device and system for environmental parameters of clean room |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |